Investigation of intelligent systems for closed environment crop monitoring

封闭环境作物监测智能系统研究

• 批准号: 529272-2018
• 负责人: Moallem, Mehrdad
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659928
• 关键词: Investigation; intelligent; systems; closed; environment

The proposed project is related to creating the necessary firmware and information processing algorithms for**intelligent crop monitoring. The objective is to detect changes in the physical location of plants, for instance to**detect if the crop inventory has been tampered with or a crop has been relocated. In the longer term, the**objective is to develop a comprehensive plant tracking and health monitoring system that can estimate the yield**of crops and alert the growers about various issues related to the plants such as their health, growth status, and**security. A major question to be investigated during the proposed project is to address how multiple low-cost**sensory systems can be utilized alongside an intelligent lighting system that can periodically obtain images**using controlled illumination. In this respect, a major challenge is how to utilize a large number of image data**sets to create mathematical signatures that can identify the health of plants by comparing them with previous**signatures.**The proposed activities will benefit Canada's agricultural industries related to crop monitoring and**management. The developed system will be a building block of an integrated lighting and crop monitoring**system for unattended growing in remote areas.

提出的项目涉及为智能作物监测创建必要的固件和信息处理算法。目标是检测植物物理位置的变化，例如检测作物库存是否被篡改或作物是否已被重新安置。从长远来看，目标是开发一个全面的植物跟踪和健康监测系统，可以估计作物的产量，并提醒种植者有关植物的各种问题，如它们的健康、生长状况和安全。在拟议的项目中要研究的一个主要问题是解决如何将多个低成本的感官系统与智能照明系统一起使用，该系统可以使用受控照明定期获取图像。在这方面，一个主要的挑战是如何利用大量的图像数据集来创建数学签名，通过将它们与以前的签名进行比较来识别植物的健康状况。**拟议的活动将有利于加拿大与作物监测和管理有关的农业工业。开发的系统将成为一个集成照明和作物监控系统的基石，用于偏远地区无人看管的种植。